code: def corrcoef(
      x: paddle.Tensor,
      /,
      *,
      y: Optional[paddle.Tensor] = None,
      rowvar: Optional[bool] = True,
      name: Optional[str] = None,
      out: Optional[paddle.Tensor] = None,
  ) -> paddle.Tensor:
      return paddle.linalg.corrcoef(
          x=x,
          rowvar=rowvar,
          name=name,
      )
  
imports: from typing import Optional, Union, Tuple, Sequence, Any
  import paddle
  import ivy.functional.backends.paddle
  import ivy
  from copy import deepcopy
  from ivy.func_wrapper import with_unsupported_device_and_dtypes, with_supported_dtypes
  from .None import backend_version
label_desc: Use image node_id 12 for calling a global function with example usage: corrcoef() and returns: paddle